OpenAGI vs OpenHuman
Side-by-side comparison of two AI agent tools
Short answer
- OpenAGI has had no commit in 22 months; OpenHuman is actively maintained (22,600 commits in the last 90 days).
- OpenHuman is growing faster: +3,180 GitHub stars in the last 30 days vs +5 for OpenAGI.
- Pick OpenAGI for: openAGI: When LLM Meets Domain Experts. Pick OpenHuman for: openHuman is the fastest, cheapest, most efficient open-source agent harness.
From GitHub data refreshed daily.
OpenAGIopen-source
OpenAGI: When LLM Meets Domain Experts
O
OpenHumanopen-source
OpenHuman is the fastest, cheapest, most efficient open-source agent harness. Written in Rust
Metrics
| OpenAGI | OpenHuman | |
|---|---|---|
| Stars | 2.3k | 40.4k |
| Star velocity /mo | 5.238095238095238 | 3.2k |
| Commits (90d) | 0 | 22.6k |
| Releases (6m) | 0 | 10 |
| Overall score | 0.1961651093214271 | 0.9408550749378012 |
Pros
- +Research-backed framework with peer-reviewed methodology published in NeurIPS 2023
- +Structured agent sharing ecosystem with upload/download functionality for community collaboration
- +Built-in external tool integration system allowing agents to leverage specialized capabilities
Cons
- -Requires migration to Cerebrum SDK for full AIOS integration, suggesting the main package may have limited standalone utility
- -Rigid folder structure requirements that may limit flexibility in agent organization
- -Heavy dependency on AIOS ecosystem for optimal functionality
Use Cases
- •Building domain-specific expert agents for AIOS deployment in specialized fields like research or analysis
- •Creating and sharing custom AI agents with the research community through the built-in marketplace
- •Developing modular agents that leverage external tools for complex multi-step workflows
FAQ
- Which is more popular, OpenAGI or OpenHuman?
- OpenHuman has more GitHub stars (40,447 vs 2,287).
- Which is more actively developed, OpenAGI or OpenHuman?
- OpenHuman had more commits in the last 90 days (22,600 vs 0).
- Should I use OpenAGI or OpenHuman?
- Compare their capabilities, limitations and "best for" notes above. Both are open source, so trying each on a small task is the fastest way to decide.